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Source channel @githubtrending · Post #14659 · May 1

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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@venturevillagewall · Post #4247 · 02/26/2025, 04:00 AM

Bitcoin ETFs Face Nearly $1B Outflows Bitcoin ETFs experience record outflows nearing $1 billion. In 2023, all crypto sectors underperform compared to Bitcoin, with AI frameworks down 84%, agent projects 70%, and more. SEC acknowledges NYSE Arca's filing for Grayscale Ethereum ETF staking. Meanwhile, Bybit hackers have laundered 45,900 ETH ($113M) in 24 hours, totaling 135,000 ETH ($335M) to date, with more expected to be laundered soon. #Bitcoin#ETH#Crypto#NFT#SEC#Grayscale#Bybit#Hacking#Market#AI#AgentProjects#Memecoins#Gamefi#DelphiDigital#VC#Outflows#BlockChain#Finance#Investments#DeFi#Web3